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Advancing Green Artificial Intelligence: Strategies for a Sustainable Future
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Author(s): Farooq Ahmad (Integral University, Lucknow, India), Shweta Dwivedi (Integral University, Lucknow, India), Zohaib Hasan Khan (Integral University, Lucknow, India)and Nupur Mittal (Integral University, Lucknow, India)
Copyright: 2025
Pages: 32
Source title:
Energy Efficient Algorithms and Green Data Centers for Sustainable Computing
Source Author(s)/Editor(s): P.J. Beslin Pajila (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Belfin Robinson Vimala (University of North Carolina, USA), Y. Harold Robinson (Francis Xavier Engineering College, India)and C. Gopala Krishnan (GITAM University, India)
DOI: 10.4018/979-8-3373-0766-4.ch012
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Abstract
Green artificial intelligence (AI) is designed to be more eco-friendly and accessible compared to traditional AI. It delivers precise results without the added computational costs and allows researchers with just a laptop to conduct high-quality work without the need for expensive cloud servers. This chapter explores green AI as a crucial method for improving the environmental sustainability of AI systems. It covers AI solutions that promote eco-friendly practices in various fields (referred to as “green-by AI”), methods for developing energy-efficient machine learning (ML) algorithms and models (known as “green-in AI”), and tools for accurately measuring and optimizing energy usage. The chapter also looks at how regulations can support green AI and discusses future directions for sustainable ML. It highlights the need to integrate environmental considerations into AI practices to promote a more eco-conscious and energy-efficient future for AI technologies.
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